Advancing Integrative Medicine Through Medical Intelligence: Introduction to Medical Intelligence with Integrative Medicine - Softcover

Über die Autorinnen und Autoren

Dr. Sumbul is a dynamic academician and researcher at the forefront of integrative healthcare, seamlessly bridging traditional systems of medicine with modern technological intelligence. She received her Bachelor’s degree in B.U.M.S. (Bachelor of Unani Medicine and Surgery) from Ayurvedic and Unani Tibbia College, University of Delhi in 2019, followed by her Master’s degree in Obstetrics and Gynecology from NIUM, Rajiv Gandhi University of Health Sciences, Bangalore, in 2022. Since then, she has been serving as an Assistant Professor at Jamia Hamdard, New Delhi, contributing actively to teaching, research, clinical duties and academic leadership. With over 30 publications in national and international journals, 300 citations, and an h-index of 8, Dr. Sumbul has published her research with reputed international publishers including Elsevier, Springer, Wiley, Hindawi, MDPI, Frontiers, and Bentham Science. Her scholarly work is driven by a strong vision to integrate healthcare and traditional systems of medicine with artificial intelligence, shaping the future of evidence-based, technology-enabled holistic care.

Dr. Md Belal Bin Heyat is a distinguished researcher and academic whose work connects artificial intelligence, biomedical signal processing, and healthcare innovation. He completed his B.Tech in Electronics and Instrumentation (EI) and his M.Tech in Electronics Circuit and System (ECS) at Integral University, Lucknow, India, in 2014 and 2016, respectively. He later pursued his PhD in Electronic Science and Technology at the University of Electronic Science and Technology of China (UESTC), Chengdu, where he demonstrated remarkable academic and leadership excellence, winning nine prestigious awards and serving as a Research Associate, Vice-Chairman of the UESTC Country League, and Country Representative for India.
After his PhD, Dr. Heyat worked as a Postdoctoral Fellow at the IoT Research Centre, College of Computer Science and Software Engineering, Shenzhen University, China, from 2021 to 2023. He is currently a Postdoctoral Fellow at the CenBRAIN Neurotech Center of Excellence, Westlake University, China. Alongside this, he serves as a visiting postdoctoral researcher at the Center for Visual Information Technology (CVEST), IIIT Hyderabad, India, and as a faculty member in the Department of Science and Engineering at the Novel Global Community Educational Foundation, NSW, Australia.
Dr. Heyat’s interdisciplinary research focuses on applying AI to enhance disease detection and treatment, particularly in sleep disorders, neurological and psycho-neurological conditions, and cardiovascular health. He is also widely recognized for integrating Traditional Chinese Medicine concepts with modern AI-driven diagnostic systems for mental health care. With over 3500 citations and recognition as one of the Top
2% Scientists in the World (Stanford University Ranking), his work continues to make a profound impact on global healthcare research.
Beyond his scientific contributions, Dr. Heyat actively serves the academic community as a Guest Editor for renowned journals such as Life, Journal of Integrative Neuroscience, and Applied Sciences. He also reviews for major publishers, including Oxford University Press, IEEE, Elsevier, Springer, Wiley, Hindawi, MDPI, Frontiers, and Bentham Science. With more than 100 publications in leading international journals and conferences and an h-index of 35, Dr. Heyat remains dedicated to advancing AI-powered healthcare and neuro-technology, striving to improve diagnostic precision and transform medical innovation worldwide.

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Advancing Integrative Medicine Through Medical Intelligence: Introduction to Medical Intelligence with Integrative Medicine" explores the synergy between advanced technologies like AI and data analytics, and traditional medicine. This comprehensive book examines how these fields converge to enhance healthcare outcomes.
The book covers key topics such as the role of AI in modern medicine, integration of traditional practices like Ayurveda and Unani with AI, and holistic approaches for patient care. It also includes AI-assisted mental health interventions, disease prevention through traditional methods, and AI in diagnosing chronic diseases and managing pain.
Academics, researchers, and healthcare professionals will find this book invaluable for understanding how to combine AI and integrative medicine to improve health outcomes. It offers practical case studies and explores emerging trends that will shape the future of healthcare, making it a crucial resource for those interested in the evolving landscape of medical practices.